ol7.7安裝部署4節點hadoop 3.2.1分布式集群學習環境

準備4臺虛擬機，安裝好ol7.7，分配固定ip192.168.168.11 12 13 14，其中192.168.168.11作為master，其他3個作為slave，主節點也同時作為namenode的同時也是datanode，192.168.168.14作為datanode的同時也作為secondary namenodes

首先修改/etc/hostname將主機名改為master、slave1、slave2、slave3

然后修改/etc/hosts文件添加

192.168.168.11 master
192.168.168.12 slave1
192.168.168.13 slave2
192.168.168.14 slave3

然后卸載自帶openjdk改為sun jdk，參考http://www.rzrgm.cn/yongestcat/p/13222963.html

配置無密碼登陸本機

ssh-keygen -t rsa -P '' -f ~/.ssh/id_rsa
cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
chmod 0600 ~/.ssh/authorized_keys

配置互信

master上把公鑰傳輸給各個slave

scp ~/.ssh/id_rsa.pub hadoop@slave1:/home/hadoop/
scp ~/.ssh/id_rsa.pub hadoop@slave2:/home/hadoop/
scp ~/.ssh/id_rsa.pub hadoop@slave3:/home/hadoop/

在slave主機上將master的公鑰加入各自的節點上

cat ~/id_rsa.pub >> ~/.ssh/authorized_keys

master上安裝hadoop

sudo tar -xzvf ~/hadoop-3.2.1.tar.gz -C /usr/local
sudo mv hadoop-3.2.1-src/ ./hadoop
sudo chown -R hadoop: ./hadoop

.bashrc添加并使之生效

export HADOOP_HOME=/usr/local/hadoop
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop

集群配置,/usr/local/hadoop/etc/hadoop目錄中有配置文件:

修改core-site.xml

<configuration>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>file:/usr/local/hadoop/tmp</value>
        <description>Abase for other temporary directories.</description>
    </property>
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://master:9000</value>
    </property>
</configuration>

修改hdfs-site.xml

<configuration>
  <property>
        <name>dfs.namenode.name.dir</name>
        <value>/home/hadoop/data/nameNode</value>
  </property>

  <property>
        <name>dfs.datanode.data.dir</name>
        <value>/home/hadoop/data/dataNode</value>
  </property>

  <property>
        <name>dfs.replication</name>
        <value>3</value>
  </property>
  <property>
        <name>dfs.secondary.http.address</name>
        <value>slave3:50090</value>
  </property>
</configuration>

修改mapred-site.xml

<configuration>
  <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
  </property>

  <property>
        <name>yarn.app.mapreduce.am.env</name>
        <value>HADOOP_MAPRED_HOME=$HADOOP_HOME</value>
  </property>

  <property>
        <name>mapreduce.map.env</name>
        <value>HADOOP_MAPRED_HOME=$HADOOP_HOME</value>
  </property>

  <property>
        <name>mapreduce.reduce.env</name>
        <value>HADOOP_MAPRED_HOME=$HADOOP_HOME</value>
  </property>
</configuration>

修改yarn-site.xml

<configuration>
        <property>
                <name>yarn.resourcemanager.hostname</name>
                <value>master</value>
        </property>
        <property>
                <name>yarn.nodemanager.aux-services</name>
                <value>mapreduce_shuffle</value>
        </property>
</configuration>

修改hadoop-env.sh找到JAVA_HOME的配置將目錄修改為

export JAVA_HOME=/usr/lib/jvm/jdk1.8.0_191

修改workers

[hadoop@master /usr/local/hadoop/etc/hadoop]$ vim workers 
master
slave1
slave2
slave3

最后將配置好的/usr/local/hadoop文件夾復制到其他節點

sudo scp -r /usr/local/hadoop/ slave1:/usr/local/
sudo scp -r /usr/local/hadoop/ slave2:/usr/local/
sudo scp -r /usr/local/hadoop/ slave3:/usr/local/

并且把文件夾owner改為hadoop

關閉防火墻

sudo systemctl stop firewalld
sudo systemctl disable firewalld

格式化hdfs，首次運行前運行，以后不用，在任意節點執行都可以/usr/local/hadoop/bin/hadoop namenode –format

看到這個successfuly formatted就是表示成功

start-dfs.sh啟動集群hdfs

jps命令查看運行情況

通過master的9870端口可以網頁監控http://192.168.168.11:9870/

也可以通過命令行查看集群狀態hadoop dfsadmin -report

[hadoop@master ~]$ hadoop dfsadmin -report
WARNING: Use of this script to execute dfsadmin is deprecated.
WARNING: Attempting to execute replacement "hdfs dfsadmin" instead.

Configured Capacity: 201731358720 (187.88 GB)
Present Capacity: 162921230336 (151.73 GB)
DFS Remaining: 162921181184 (151.73 GB)
DFS Used: 49152 (48 KB)
DFS Used%: 0.00%
Replicated Blocks:
        Under replicated blocks: 0
        Blocks with corrupt replicas: 0
        Missing blocks: 0
        Missing blocks (with replication factor 1): 0
        Low redundancy blocks with highest priority to recover: 0
        Pending deletion blocks: 0
Erasure Coded Block Groups: 
        Low redundancy block groups: 0
        Block groups with corrupt internal blocks: 0
        Missing block groups: 0
        Low redundancy blocks with highest priority to recover: 0
        Pending deletion blocks: 0

-------------------------------------------------
Live datanodes (4):

Name: 192.168.168.11:9866 (master)
Hostname: master
Decommission Status : Normal
Configured Capacity: 50432839680 (46.97 GB)
DFS Used: 12288 (12 KB)
Non DFS Used: 9796546560 (9.12 GB)
DFS Remaining: 40636280832 (37.85 GB)
DFS Used%: 0.00%
DFS Remaining%: 80.58%
Configured Cache Capacity: 0 (0 B)
Cache Used: 0 (0 B)
Cache Remaining: 0 (0 B)
Cache Used%: 100.00%
Cache Remaining%: 0.00%
Xceivers: 1
Last contact: Fri Jul 03 11:14:44 CST 2020
Last Block Report: Fri Jul 03 11:10:35 CST 2020
Num of Blocks: 0


Name: 192.168.168.12:9866 (slave1)
Hostname: slave1
Decommission Status : Normal
Configured Capacity: 50432839680 (46.97 GB)
DFS Used: 12288 (12 KB)
Non DFS Used: 9710411776 (9.04 GB)
DFS Remaining: 40722415616 (37.93 GB)
DFS Used%: 0.00%
DFS Remaining%: 80.75%
Configured Cache Capacity: 0 (0 B)
Cache Used: 0 (0 B)
Cache Remaining: 0 (0 B)
Cache Used%: 100.00%
Cache Remaining%: 0.00%
Xceivers: 1
Last contact: Fri Jul 03 11:14:44 CST 2020
Last Block Report: Fri Jul 03 11:10:35 CST 2020
Num of Blocks: 0


Name: 192.168.168.13:9866 (slave2)
Hostname: slave2
Decommission Status : Normal
Configured Capacity: 50432839680 (46.97 GB)
DFS Used: 12288 (12 KB)
Non DFS Used: 9657286656 (8.99 GB)
DFS Remaining: 40775540736 (37.98 GB)
DFS Used%: 0.00%
DFS Remaining%: 80.85%
Configured Cache Capacity: 0 (0 B)
Cache Used: 0 (0 B)
Cache Remaining: 0 (0 B)
Cache Used%: 100.00%
Cache Remaining%: 0.00%
Xceivers: 1
Last contact: Fri Jul 03 11:14:44 CST 2020
Last Block Report: Fri Jul 03 11:10:35 CST 2020
Num of Blocks: 0


Name: 192.168.168.14:9866 (slave3)
Hostname: slave3
Decommission Status : Normal
Configured Capacity: 50432839680 (46.97 GB)
DFS Used: 12288 (12 KB)
Non DFS Used: 9645883392 (8.98 GB)
DFS Remaining: 40786944000 (37.99 GB)
DFS Used%: 0.00%
DFS Remaining%: 80.87%
Configured Cache Capacity: 0 (0 B)
Cache Used: 0 (0 B)
Cache Remaining: 0 (0 B)
Cache Used%: 100.00%
Cache Remaining%: 0.00%
Xceivers: 1
Last contact: Fri Jul 03 11:14:44 CST 2020
Last Block Report: Fri Jul 03 11:10:35 CST 2020
Num of Blocks: 0


[hadoop@master ~]$

start-yarn.sh可以開啟yarn，可以通過master8088端口監控

啟動集群命令，可以同時開啟hdfs和yarn /usr/local/hadoop/sbin/start-all.sh

停止集群命令 /usr/local/hadoop/sbin/stop-all.sh

就這樣，記錄過程，以備后查

posted @ 2020-07-03 11:25 九命貓幺閱讀(505) 評論(0) 收藏舉報

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ol7.7安裝部署4節點hadoop 3.2.1分布式集群學習環境

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